Navigation of mobile robots using a fuzzy behaviorist approach and custom-designed fuzzy inferencing boards-Reference-Cited by-同舟云学术

Navigation of mobile robots using a fuzzy behaviorist approach and custom-designed fuzzy inferencing boards

Published:1994-11 Issue:6 Volume:12 Page:491-503
ISSN:0263-5747
Container-title:Robotica
language:en
Short-container-title:Robotica

Author:

Pin François G.,Watanabe Yutaka

Abstract

SummaryTwo types of computer boards incorporating recently developed VLSI fuzzy inferencing chips have been developed to support the addition of qualitative reasoning capabilities to the real-time control of robotic systems. The design and operation of these boards are first reviewed and their use, in conjunction with our proposed Fuzzy Behaviorist approach, is discussed. This approach uses superposition of elemental sensor-based behaviors expressed in the Fuzzy Sets theoretic framework, to emulate "human-like" reasoning inrobotic systems.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference24 articles.

1. 21. Pin F.G. , Watanabe H. , Symon J.R. and Pattay R.S. , “Using custom-designed VLSI fuzzy inferencing chips for the autonomous navigation of a mobile robot” Proceedings of IROS'92, the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, Raleigh, North Carolina, July 7–10, 1992 (1992) pp. 790–795.

2. 18. Watanabe Y. and Pin F.G. . “Sensor-based navigation of a mobile robot using automatically constructed fuzzy rules” Proceedings of ICAR '93 the International Conference on Advanced Robotics, Tokyo, Japan, November 1–2, 1993 (1993) pp. 81–87.

3. 17. Pin F.G. and Watanabe Y. , “A fuzzy behavior approach for approximate perception data-based control of autonomous robots” IEEE Transactions on Fuzzy Systems (in review).

4. On the design and development of a human-robot synergistic system

5. Fuzzy control of a mobile robot for obstacle avoidance

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local Planning of AUV Based on Fuzzy-Q Learning in Strong Sea Flow Field;2009 International Joint Conference on Computational Sciences and Optimization;2009-04

2. A Fuzzy-Q Method to Improve the Adaptability of AUV in Variable Ocean Current Environment;2009 WRI Global Congress on Intelligent Systems;2009

3. Sonar-Based Rover Navigation for Single or Multiple Platforms: Forward Safe Path and Target Switching Approach;IEEE Systems Journal;2008-06

4. Robot navigation in very cluttered environments by preference-based fuzzy behaviors;Robotics and Autonomous Systems;2008-03

5. Robot Navigation in Cluttered 3-D Environments Using Preference-Based Fuzzy Behaviors;IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics);2007-12